Trend data refers to sequential measurements that express an evolution of one parameter in function of another. Examples include enzymatic activity, growth curves, (high resolution) melting curves, etc. Such data can be imported, analyzed and compared (by means of parameters calculated on regression curves) in the BIONUMERICS software.
This tutorial shows you how to calculate a dendrogram based on Omnilog (BIOLOG) trend data.
This tutorial shows you how to import sugar metabolization data from text files into a BIONUMERICS database as trend data and fit a curve through the measurements.
This tutorial shows you how to import carbon source oxidation data, generated by the Omnilog system (BIOLOG), into a BIONUMERICS database. The CSV files are imported as trend data and it is explained how a curve is fitted through the measurements.
This tutorial shows you how to calculate a dendrogram based on Omnilog (BIOLOG) trend data, for which the import is described in the tutorial on importing Omnilog CSV files.
This tutorial shows you how to import carbon source oxidation data, generated by the Omnilog system (BIOLOG), into a BioNumerics database. The CSV files are imported as trend data and it is explained how a curve is fitted through the measurements.
This tutorial shows you how to import sugar metabolization data from text files into a BioNumerics database as trend data and fit a curve through the measurements.